Trae1ounG/DyPRAG
[arxiv: 2503.23895] Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
DyPRAG helps anyone building applications with Large Language Models (LLMs) improve the accuracy and relevance of their generated text, especially when needing to incorporate specific, up-to-date knowledge. It takes existing documents or knowledge bases as input and enhances the LLM's understanding without needing to retrain the entire model. This is for AI application developers and researchers working on intelligent chatbots, knowledge assistants, or content generation tools.
172 stars. No commits in the last 6 months.
Use this if you need your LLMs to access and utilize specific, external knowledge accurately at the moment of generating a response, without frequent and costly full model retraining.
Not ideal if your application requires an LLM to respond solely based on its pre-trained general knowledge without any need for external, dynamic information.
Stars
172
Forks
19
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 14, 2025
Commits (30d)
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